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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AMBP is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.015
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
53%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
36%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4655.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
16032.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
13496.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
11196.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
10712.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
10595.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
10453.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
10413.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
10406.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
10213.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
10125.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
9680.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
9579.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
9467.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
9249.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
9213.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
9164.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
9040.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
9020.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
8623.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8621.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
8561.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
8536.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
8491.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
8297.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
8275.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
8256.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8237.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
8181.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
8176.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
8107.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
8096.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
8066.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
8047.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
7999.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
7972.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
7862.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
7746.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7735.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
7729.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
7712.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
7639.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
7614.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
7478.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
7463.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
7447.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
7432.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
7390.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
7316.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7309.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
7295.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
7263.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7258.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
7225.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
7211.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
7179.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
7174.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
7131.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
7073.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
7039.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
6987.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
6986.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
6983.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
6893.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
6875.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
6863.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
6815.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
6810.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
6804.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
6796.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6790.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
6778.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6767.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
6712.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
6696.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
6681.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
6668.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6636.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
6617.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
6607.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
6600.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
6569.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
6555.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
6525.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
6467.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
6411.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6388.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
6384.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
6381.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
6370.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
6350.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
6317.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
6308.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
6298.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
6265.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
6235.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
6210.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
6197.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
6195.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
6137.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
6110.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
6108.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
6106.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
6100.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6059.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
6053.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5996.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
5953.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
5935.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
5925.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
5911.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
5876.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
5841.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
5795.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
5793.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
5787.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5779.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
5772.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5708.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5696.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
5685.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5673.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
5632.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
5625.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5575.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
5565.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5483.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
5440.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
5434.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5422.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
5415.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
5348.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
5346.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5341.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5337.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
5324.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5299.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
5286.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5260.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5255.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
5250.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
5239.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
5238.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
5219.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5202.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5186.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5149.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
5117.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5105.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
5094.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
5080.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5052.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
5049.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
5037.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5032.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5027.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
5020.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
5020.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4997.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
4995.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
4994.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4967.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
4955.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
4922.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4908.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4880.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
4824.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4821.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4776.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4753.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4702.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4674.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4648.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
4626.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4602.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
4576.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4514.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
4425.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4391.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4368.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4361.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4351.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4343.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
4326.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
4315.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4299.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
4294.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4274.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4263.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4256.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
4192.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
4182.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4176.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
4134.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4126.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4119.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4097.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4032.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4024.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3977.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3950.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3949.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3945.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3909.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3891.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3877.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3858.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3851.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3846.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3842.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
3842.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3832.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3825.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3823.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3815.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3809.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3790.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3776.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3774.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3773.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3751.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3703.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3673.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3663.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3655.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3616.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3595.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3587.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
3584.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3570.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3541.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3511.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3466.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3456.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3455.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3416.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3410.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3383.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3377.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3377.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3371.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3369.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3347.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3342.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3323.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3322.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3312.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3295.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3282.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3265.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3265.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3261.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
3246.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3238.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
3236.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3229.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3172.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3142.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3142.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
3138.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3133.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3130.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3122.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3120.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3111.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3095.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3086.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3076.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3069.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
3054.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3027.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3008.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
2971.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2964.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2944.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2928.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2890.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2887.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2886.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2877.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2834.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2801.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2793.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2780.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2763.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2750.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2746.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2746.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2730.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2682.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2663.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2626.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2509.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2478.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2451.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2408.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2392.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2360.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2353.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2349.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2335.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2327.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2320.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2246.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2193.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2159.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2125.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2100.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2032.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1956.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1956.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1909.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1890.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1881.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1871.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1810.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1797.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1777.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1743.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1738.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1732.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1723.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1721.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1701.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1689.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1637.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1636.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1586.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1577.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1546.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1472.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1462.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1451.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1426.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1409.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1378.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1308.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1250.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1247.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1176.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1171.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1100.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1081.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1076.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1058.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
984.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
843.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
786.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
735.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
579.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
557.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
506.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
485.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
433.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
374.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
270.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
217.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
113.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
43.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
9.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
9.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
7.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AMBP is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0082
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
70%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
41%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3372.4
Number of samples
231
Samples
Sample
Description
TPM
DO50789
73 years, female, NA, stage:2, alive, 570 days
10590.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
9263.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
8937.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
8463.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
8245.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
8158.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
7998.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
7953.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
7737.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
7502.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
7320.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
7307.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
7084.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
7010.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
6980.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
6929.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
6736.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
6695.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
6604.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
6560.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
6518.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
6469.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6469.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
6431.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
6368.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
6304.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
6291.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
6215.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
6203.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
6168.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
6068.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
6021.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
5961.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5847.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
5837.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
5822.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
5617.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
5546.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
5472.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
5427.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5368.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
5356.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
5303.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
5171.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
5123.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
5109.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
4999.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
4975.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
4944.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4921.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
4788.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
4780.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
4695.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
4673.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
4665.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
4590.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
4559.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4555.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
4526.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
4522.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
4460.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
4397.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
4383.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
4369.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
4353.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
4315.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
4310.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
4286.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
4263.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
4250.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
4217.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
4182.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
4172.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
4167.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4164.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
4133.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
4099.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
4069.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
4067.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4051.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
4018.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4016.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
3951.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3938.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
3910.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
3899.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
3881.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
3879.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3872.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
3854.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3845.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
3830.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
3807.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
3771.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
3759.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
3734.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3727.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
3694.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
3672.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3666.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
3654.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3644.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
3614.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
3610.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
3605.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
3595.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
3528.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
3457.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
3449.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
3436.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
3361.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3357.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
3307.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3273.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
3212.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
3204.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
3148.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
3142.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
3128.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
3128.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
3115.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
3113.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
3099.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
3065.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
3058.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3023.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2929.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
2912.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2856.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
2839.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
2834.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
2801.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
2767.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
2724.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
2624.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
2608.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
2600.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2598.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
2592.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2590.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
2587.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
2541.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
2535.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
2497.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2486.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2446.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
2408.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
2383.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
2359.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
2348.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2315.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2294.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
2261.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
2250.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2230.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
2204.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
2198.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
2179.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2139.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2076.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1982.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1975.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
1926.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1887.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1876.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1871.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
1861.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1850.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
1823.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
1805.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1803.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
1793.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1793.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
1778.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1769.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1755.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1739.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1733.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1712.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1676.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1659.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1643.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1632.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1631.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
1611.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
1596.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1590.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1519.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1457.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
1415.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1365.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
1323.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
1314.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1142.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1098.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
1016.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
978.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
957.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
867.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
818.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
795.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
758.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
738.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
736.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
696.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
677.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
643.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
629.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
623.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
572.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
557.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
536.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
462.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
427.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
422.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
420.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
366.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
109.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
71.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
40.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
36.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
31.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
10.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
10.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
6.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
6.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
5.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.4
343
Tumor
1.3
425
Tumor
1.3
817
Tumor
1.1
921
Tumor
1.1
471
Tumor
1.1
375
Tumor
1.1
815
Tumor
0.9
745
Tumor
0.9
355
Tumor
0.9
863
Tumor
0.9
385
Tumor
0.8
635
Tumor
0.8
227
Tumor
0.7
975
Tumor
0.7
135
Tumor
0.7
697
Tumor
0.7
391
Tumor
0.7
573
Tumor
0.7
567
Tumor
0.7
823
Tumor
0.6
363
Tumor
0.6
313
Tumor
0.6
671
Tumor
0.6
192
Normal
0.6
223
Tumor
0.6
517
Tumor
0.6
277
Tumor
0.5
1045
Tumor
0.5
125
Tumor
0.5
951
Tumor
0.5
141
Tumor
0.5
1025
Tumor
0.5
571
Tumor
0.5
743
Tumor
0.5
112
Tumor
0.5
257
Tumor
0.4
131
Tumor
0.4
983
Tumor
0.4
393
Tumor
0.4
713
Tumor
0.4
553
Tumor
0.4
523
Tumor
0.4
455
Tumor
0.3
663
Tumor
0.3
411
Tumor
0.3
367
Tumor
0.3
113
Tumor
0.3
535
Tumor
0.3
641
Tumor
0.3
515
Tumor
0.3
487
Tumor
0.3
147
Tumor
0.3
137
Tumor
0.3
461
Tumor
0.3
744
Normal
0.2
881
Tumor
0.2
741
Tumor
0.2
342
Normal
0.2
142
Normal
0.2
777
Tumor
0.2
785
Tumor
0.2
545
Tumor
0.2
923
Tumor
0.2
271
Tumor
0.2
365
Tumor
0.2
376
Normal
0.2
221
Tumor
0.1
865
Tumor
0.1
963
Tumor
0.1
217
Tumor
0.1
527
Tumor
0.1
533
Tumor
0.1
423
Tumor
0.1
938
Normal
0.1
435
Tumor
0.1
1041
Tumor
0.1
742
Normal
0.1
392
Normal
0.1
383
Tumor
0.1
715
Tumor
0.1
297
Tumor
0.1
1043
Tumor
0.1
387
Tumor
0.1
477
Tumor
0.1
755
Tumor
0.1
615
Tumor
0.1
883
Tumor
0.1
421
Tumor
0.1
746
Normal
0.1
574
Normal
0.1
436
Normal
0.1
554
Normal
0.1
353
Tumor
0.1
463
Tumor
0.1
452
Normal
0.1
187
Tumor
0.1
538
Normal
0.1
384
Normal
0.1
737
Tumor
0.1
145
Tumor
0.1
862
Normal
0.1
267
Tumor
0.1
445
Tumor
0.1
224
Normal
0.1
161
Tumor
0.1
546
Normal
0.0
695
Tumor
0.0
132
Normal
0.0
283
Tumor
0.0
913
Tumor
0.0
111
Normal
0.0
422
Normal
0.0
618
Normal
0.0
647
Tumor
0.0
914
Normal
0.0
878
Normal
0.0
341
Tumor
0.0
474
Normal
0.0
314
Normal
0.0
958
Normal
0.0
368
Normal
0.0
124
Normal
0.0
386
Normal
0.0
388
Normal
0.0
128
Normal
0.0
196
Normal
0.0
813
Tumor
0.0
298
Normal
0.0
138
Normal
0.0
426
Normal
0.0
228
Normal
0.0
366
Normal
0.0
627
Tumor
0.0
937
Tumor
0.0
186
Normal
0.0
448
Normal
0.0
617
Tumor
0.0
354
Normal
0.0
364
Normal
-0.1
851
Tumor
-0.1
953
Tumor
-0.1
976
Normal
-0.1
483
Tumor
-0.1
214
Normal
-0.1
114
Normal
-0.1
222
Normal
-0.1
362
Normal
-0.1
967
Tumor
-0.1
915
Tumor
-0.1
185
Tumor
-0.1
126
Normal
-0.1
431
Tumor
-0.1
636
Normal
-0.1
396
Normal
-0.1
716
Normal
-0.1
218
Normal
-0.1
922
Normal
-0.1
537
Tumor
-0.1
394
Normal
-0.1
738
Normal
-0.1
358
Normal
-0.1
146
Normal
-0.1
864
Normal
-0.1
957
Tumor
-0.1
444
Normal
-0.1
424
Normal
-0.1
433
Tumor
-0.1
952
Normal
-0.1
432
Normal
-0.1
258
Normal
-0.1
494
Normal
-0.1
518
Normal
-0.1
924
Normal
-0.1
428
Normal
-0.1
446
Normal
-0.1
982
Normal
-0.1
312
Normal
-0.1
728
Normal
-0.1
272
Normal
-0.1
331
Tumor
-0.1
261
Tumor
-0.1
525
Tumor
-0.1
642
Normal
-0.1
564
Normal
-0.2
1027
Tumor
-0.2
232
Normal
-0.2
465
Tumor
-0.2
534
Normal
-0.2
148
Normal
-0.2
568
Normal
-0.2
352
Normal
-0.2
162
Normal
-0.2
414
Normal
-0.2
497
Tumor
-0.2
466
Normal
-0.2
956
Normal
-0.2
464
Normal
-0.2
484
Normal
-0.2
866
Normal
-0.2
468
Normal
-0.2
925
Tumor
-0.2
1031
Tumor
-0.2
172
Normal
-0.2
462
Normal
-0.2
964
Normal
-0.2
412
Normal
-0.2
344
Normal
-0.2
434
Normal
-0.2
648
Normal
-0.2
136
Normal
-0.2
727
Tumor
-0.2
918
Normal
-0.2
285
Tumor
-0.2
723
Tumor
-0.2
563
Tumor
-0.2
472
Normal
-0.2
955
Tumor
-0.2
492
Normal
-0.2
977
Tumor
-0.2
356
Normal
-0.2
416
Normal
-0.2
212
Normal
-0.2
278
Normal
-0.2
572
Normal
-0.2
874
Normal
-0.2
1028
Normal
-0.2
662
Normal
-0.2
286
Normal
-0.2
516
Normal
-0.2
816
Normal
-0.2
628
Normal
-0.2
284
Normal
-0.3
1044
Normal
-0.3
1016
Normal
-0.3
171
Tumor
-0.3
536
Normal
-0.3
188
Normal
-0.3
616
Normal
-0.3
127
Tumor
-0.3
361
Tumor
-0.3
488
Normal
-0.3
328
Normal
-0.3
456
Normal
-0.3
778
Normal
-0.3
664
Normal
-0.3
262
Normal
-0.3
558
Normal
-0.3
818
Normal
-0.3
965
Tumor
-0.3
696
Normal
-0.3
332
Normal
-0.3
327
Tumor
-0.3
268
Normal
-0.3
482
Normal
-0.3
447
Tumor
-0.3
911
Tumor
-0.3
514
Normal
-0.3
857
Tumor
-0.3
861
Tumor
-0.3
868
Normal
-0.3
882
Normal
-0.3
528
Normal
-0.3
1021
Tumor
-0.3
722
Normal
-0.3
415
Tumor
-0.3
968
Normal
-0.3
191
Tumor
-0.3
916
Normal
-0.3
1022
Normal
-0.3
981
Tumor
-0.3
786
Normal
-0.4
1026
Normal
-0.4
714
Normal
-0.4
1014
Normal
-0.4
481
Tumor
-0.4
966
Normal
-0.4
478
Normal
-0.4
526
Normal
-0.4
984
Normal
-0.4
672
Normal
-0.4
443
Tumor
-0.4
954
Normal
-0.4
498
Normal
-0.4
195
Tumor
-0.4
557
Tumor
-0.4
213
Tumor
-0.4
524
Normal
-0.4
944
Normal
-0.4
493
Tumor
-0.4
686
Normal
-0.4
311
Tumor
-0.4
1015
Tumor
-0.4
698
Normal
-0.4
756
Normal
-0.5
926
Normal
-0.5
491
Tumor
-0.5
721
Tumor
-0.5
1046
Normal
-0.5
1032
Normal
-0.5
473
Tumor
-0.5
395
Tumor
-0.5
413
Tumor
-0.5
824
Normal
-0.5
852
Normal
-0.5
357
Tumor
-0.5
873
Tumor
-0.5
467
Tumor
-0.6
858
Normal
-0.6
123
Tumor
-0.6
884
Normal
-0.6
513
Tumor
-0.6
1042
Normal
-0.6
917
Tumor
-0.6
451
Tumor
-0.6
867
Tumor
-0.6
665
Tumor
-0.7
666
Normal
-0.7
978
Normal
-0.7
427
Tumor
-0.7
943
Tumor
-0.7
661
Tumor
-0.7
685
Tumor
-0.7
231
Tumor
-0.8
814
Normal
-0.8
351
Tumor
-0.8
724
Normal
-0.9
912
Normal
-0.9
1013
Tumor
-1.0
211
Tumor
-1.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.